Imaging-Guided Neural Implant Targeting Extensions¶
Imaging-Guided Neural Implant Targeting Extensions (IGNITE) is a repository of Python functions designed to help neuroscientists harness multiple existing open-source software in order to create customized neural implants for experimental research. For maximum customization and surgical precision, the process uses anatomical magnetic resonance imaging (MRI) and computer tomography (CT) volumes, at least one of which should be acquired with the anesthetized subject held in a stereotaxic frame. This site documents some of the available functions, and guides new users through the entire process.
Processes¶
Installation
Image processing
Implant design
Implant customization
Modifying code
Software Dependencies¶
3D medical imaging
Computer Aided Design (CAD)
3D modeling and animation
IGNITE consists of Python code that calls modules provided by various open-source software. Each of these software programs have been developed by various groups over decades, which means that they all have:
refined graphical user interfaces
cross-platform support
comprehensive online documentation
large and active online user communities
plentiful online tutorials and learning resources
While the task of designing customized neural implants using these software tools can be performed manually, there is a learning curve to navigating each software’s graphical user interface (GUI). IGNITE simplifies the process as much as possible, by scripting steps that a user would otherwise have to learn to perform through GUI interactions.
Resources¶
GitHub
Documents
Tutorials
3D models
Contact
Background¶
IGNITE has been developed by researchers in the Neurophysiology Imaging Facility (NIF) Core at the National Institutes of Health (NIH). The complete pipeline was developed to facilitate a specific method for longitudinal extracellular neuronal recordings, which was developed at the NIH over the last decade.
